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Rajiv Jeyachandra

Rajiv Jeyachandra

Prolific Reader+ 💻 Self-taught dev + Monetization pro + 📈 Game Studio + 🎮 Gamer + 🌍 wanderer + 📸 shutter bug + 🤓 digital biz whiz—Creative, Strategic. 🚀✨

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Your 98.7% Cycle Count Accuracy Is Lying to You

3 min readSep 30, 2026
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Supply chain and finance teams connecting operational KPIs with business results
A KPI tells you what happened. Context tells you why it matters

98.7% cycle count accuracy. It looks great on the Monday slide. Nobody asks a follow-up question, the deck moves on, and everyone feels good about the operation.

Then a 3PL customer calls because their pick list shows 200 units of a SKU you physically cannot find. And suddenly that number means nothing.

THE NUMBER WAS REAL. THE PICTURE WASN’T.

The accuracy figure wasn’t wrong. The counts happened. The math checked out. What it didn’t tell you is that the 1.3% variance was concentrated almost entirely in one fast-moving lane — the same lane that feeds your two biggest accounts.

Averaged across 4,000 SKUs, the problem disappears. Zoomed into where it actually hurts, it’s a fire.

This happens constantly in warehouse ops. We report the headline because that’s what the dashboard was built to show, and we move on. Nobody’s lying. Nobody’s cutting corners. The report just isn’t answering the question anyone actually cares about.

A KPI without location, without SKU velocity, without a timestamp — that’s just a number wearing a costume. It looks like insight. It isn’t.

THREE QUESTIONS THAT TURN A KPI INTO INFORMATION

Before your next count review, hold the metric up and ask three things about it:

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Rajiv Jeyachandra
Rajiv Jeyachandra

Written by Rajiv Jeyachandra

Prolific Reader+ 💻 Self-taught dev + Monetization pro + 📈 Game Studio + 🎮 Gamer + 🌍 wanderer + 📸 shutter bug + 🤓 digital biz whiz—Creative, Strategic. 🚀✨